Triple

T14131921
Position Surface form Disambiguated ID Type / Status
Subject Corsier E350188 entity
Predicate hasBorderWith P224 FINISHED
Object Choulex E168322 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Choulex | Statement: [Corsier, hasBorderWith, Choulex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choulex
Context triple: [Corsier, hasBorderWith, Choulex]
  • A. Choulex chosen
    Choulex is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the city of Geneva.
  • B. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • C. Larche
    Larche is a commune in the Corrèze department of south-central France, situated within the Brive-la-Gaillarde area.
  • D. Larche
    Larche is a small village in the French Alps near the Italian border, known as a gateway to the surrounding mountain passes and hiking routes.
  • E. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610cece88190b4a86500677e5938 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf10e3948190b21968bc39094a8e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 11:16 p.m.